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Fireworks AI MCP by usefulapi

List users

fireworks_list_users
Read-only

List account members (users). Control-plane: GET /v1/accounts/{account_id}/users.

Input Schema

NameRequiredDescriptionDefault
pageSizeNoPage size (max 200).
pageTokenNoOpaque page token from a previous response's nextPageToken.
account_idNoFireworks account id. Overrides FIREWORKS_ACCOUNT_ID for this call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, so the safe-read profile is covered. The description adds the backing endpoint (GET /v1/accounts/{account_id}/users) and confirms it is a control-plane read, but says nothing about pagination behavior, result ordering, or what identity/permissions are needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences with zero filler, and the resource identity is front-loaded ahead of the implementation detail. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only, zero-required-parameter list tool with no output schema and safety already covered by annotations, this is nearly sufficient. It could note whether results are paginated and scoped strictly to the account, but nothing essential for calling it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents pageSize, pageToken, and account_id in full. The description adds no parameter-level meaning beyond that; baseline 3 applies when structured data does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('List account members (users)') and even disambiguates the ambiguous term 'users' as account members. It is clearly distinct from the list_* dataset/model/deployment siblings, though it never names them explicitly to route the agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use or when-not-to-use guidance and no named alternative. The only usage cue is the implicit 'Control-plane' label, which hints at an account-level admin API but leaves the agent to infer when this is the right call.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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